CfP-8th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2026) - UMAP2026
Styliani Kleanthous
Dear Colleagues,
Apologies for cross postings.
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CALL FOR PAPERS
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Eighth Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2026)
At the ACM Conference on User Modeling, Adaptation, and Personalization (UMAP 2026)
June 8 - 11, 2025, Gothenburg, Sweden
Workshop website: https://fairumap.wordpress.com/
Conference website: https://www.um.org/umap2026/
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WORKSHOP DESCRIPTION
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Personalization has become a ubiquitous and essential part of systems that help users find relevant information in today’s highly complex information-rich online environments. Machine
learning, recommender systems, and user modeling are key enabling technologies that allow intelligent systems to learn from users and adapt their output to users’ needs and preferences. However, there has been a growing recognition that these underlying technologies raise novel ethical, policy, and legal challenges. It has become apparent that a single-minded focus on the users’ preferences has obscured other important and beneficial outcomes, such systems must be able to deliver. System properties such as fairness, transparency, balance, openness to diversity, and other social welfare considerations are not captured by typical metrics based on which data-driven personalized models are optimized. Widely used personalization systems in such popular sites, like Facebook, Google News, and YouTube, have been heavily criticized for personalizing information delivery too heavily at the cost of these other objectives. Bias and fairness in machine learning are topics of considerable recent research interest. However, more work is needed to expand and extend this work into algorithmic and modeling approaches where personalization is of primary importance.
The Workshop on Fairness in User Modeling, Adaptation, and Personalization 2025 aims to bring together experts from academia and industry to discuss ethical, social, and legal concerns related to personalization and user modeling to explore a variety of mechanisms and modeling approaches that help mitigate bias and achieve fairness in personalized systems.
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TOPICS OF INTEREST
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Topics of interest include, but are not limited to the following.
Bias and discrimination in user modeling, personalization and recommendation
Computational techniques and algorithms for fairness-aware personalization
Definitions, metrics and criteria for optimizing and evaluating fairness-related aspects of personalized systems
Data preprocessing and transformation methods to address bias in training data
User modeling approaches that take fairness and bias into account
User studies to evaluate the impact of personalization on fairness, balance, diversity, and other social welfare criteria
Balancing needs of multiple stakeholders in recommender systems and other personalized systems
“Filter bubble” or “balkanization” effects of personalization
Transparent and accurate explanations for recommendations and other personalization outcomes
Trust and Trustworthiness in personalization and recommendation systems
Trust and Trustworthiness of explanations in decision making
Risks of biases and discrimination resulting from the use of GenAI in algorithmic systems
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IMPORTANT DATES
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Submission deadline: April 14, 2026
Decision notification: April 28, 2026
Camera-ready: May 7, 2026
All deadlines are 11:59 pm, AoE time (Anywhere on Earth)
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PAPER SUBMISSION
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Research papers reporting original results as well as position papers proposing novel and ground-breaking ideas pertaining to the workshop topics are solicited.
Manuscripts must be in English. Workshop papers of 5 to 9 pages (including references) will be considered as short papers, while workshop papers between 10 and 15 pages (including references) will be considered as full papers.
Papers will be submitted through EasyChair using the following link: https://easychair.org/conferences/?conf=fairumap2026
Important note: Starting with UMAP 2026, workshop papers are NOT published in the ACM proceedings. All workshop papers will be published in a single CEUR-WS proceedings volume, Authors must follow the instructions to ensure that their papers will be published in the proceedings.
At least one author of each accepted paper must attend the workshop and present the paper.
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WORKSHOP Organizing Committee
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Bamshad Mobasher, DePaul University, USA
Styliani Kleanthous, Open University of Cyprus, Cyprus
Robin Burke, University of Colorado, Boulder, USA
Tsvi Kuflik, University of Haifa, Israel
Avital Shulner-Tal, Braude College of Engineering, Karmiel, Israel